MAS8608 : Experimental Design with Advanced Topics
- Offered for Year: 2025/26
- Module Leader(s): Dr Markus Rau
- Owning School: Mathematics, Statistics and Physics
- Teaching Location: Newcastle City Campus
Semesters
Your programme is made up of credits, the total differs on programme to programme.
| Semester 2 Credit Value: | 10 |
| ECTS Credits: | 5.0 |
| European Credit Transfer System | |
Aims
To introduce students to the idea that statistical thinking is not confined to the analysis of data but is vital to the way that scientific and other experiments are planned in relevant application areas like the medical sector, agriculture, industry and experimental science.
Module Summary:
It is well-known that experiments underpin much laboratory science and medicine, where clinical trials are a form of experiment involving human subjects. The approach is also used in areas less readily associated with experiments: industrial process industries have used them for many years and many web-based activities are starting to exploit the experimental method. While the use of experiments is widely appreciated, the range and potential of different types of design, and their correct analysis, is not as widely disseminated. The course will describe the basic ideas of statistical design and introduce some of the more commonly used designs, together with the appropriate methods of analysis.
Outline Of Syllabus
Idea and role of randomization in treatment estimation, including use in clinical trials. Role of sample size in
experimentation and sample size calculations (two group case only). Methods of randomization and the role of Bayesian
ideas. Potential confounding factors and use of blocking and randomization to allow for them. Need for correct analysis.
Randomized block designs and their analysis, using matrix formulation and link with ANOVA. The idea of efficiency. More
complex blocking patterns, including Latin squares and incomplete blocks. Treatment structures such as factorial designs.
Additional advanced topics such as the use of experiments in an industrial context, the use of D-optimality and the calibration of computer models will also be considered.
Teaching Methods
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Scheduled Learning And Teaching Activities | Lecture | 5 | 1:00 | 5:00 | Problem Classes |
| Scheduled Learning And Teaching Activities | Lecture | 2 | 1:00 | 2:00 | Revision Lectures |
| Scheduled Learning And Teaching Activities | Lecture | 20 | 1:00 | 20:00 | Formal Lectures |
| Guided Independent Study | Assessment preparation and completion | 1 | 2:00 | 2:00 | Unseen exam |
| Guided Independent Study | Assessment preparation and completion | 2 | 4:00 | 8:00 | Completion of in course assessments |
| Guided Independent Study | Directed research and reading | 15 | 1:00 | 15:00 | Directed reading of advanced topic(s) |
| Guided Independent Study | Independent study | 2 | 1:30 | 3:00 | Review of Coursework |
| Guided Independent Study | Independent study | 13 | 1:00 | 13:00 | Revision for unseen exam |
| Guided Independent Study | Independent study | 22 | 1:00 | 22:00 | Preparation time for lectures |
| Guided Independent Study | Independent study | 10 | 1:00 | 10:00 | Background reading on lectured content |
| Total | 100:00 |
Jointly Taught With
| Code | Title |
|---|---|
| MAS3908 | Experimental Design |
Teaching Rationale And Relationship
Lectures are used for the delivery of theory and explanation of methods, illustrated with examples, and for giving general feedback on marked work. Problem classes are used to help develop the students’ abilities at applying the theory to solving problems. In addition, directed research and reading of an advanced topic is used to develop the students’ ability to learn independently.
The teaching methods are appropriate to allow students to develop a wide range of skills. From understanding basic concepts and facts to higher-order thinking.
Assessment Methods
The format of resits will be determined by the Board of Examiners
Exams
| Description | Length | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|---|
| Written Examination | 120 | 2 | A | 80 | 2 hour written exam, comprising a Section A and a Section B |
Exam Pairings
| Module Code | Module Title | Semester | Comment |
|---|---|---|---|
| Experimental Design | 2 | N/A |
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Prob solv exercises | 2 | M | 20 | Coursework 2. Up to 6 page typeset report based upon a set assignment comprising open-ended questions. |
Formative Assessments
Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.
| Description | Semester | When Set | Comment |
|---|---|---|---|
| Prob solv exercises | 2 | M | Coursework 1. 40 minute class test, conducted during one of the timetabled one hour lecture slots. |
Assessment Rationale And Relationship
A substantial formal unseen examination is appropriate for the assessment of the material in this module. The format of the examination will enable students to reliably demonstrate their own knowledge, understanding and application of learning outcomes.
Examination problems may require a synthesis of concepts and strategies from different sections, while they may have more than one way for solution. The examination time allows the students to test different strategies, work out examples and gather evidence for deciding on an effective strategy, while carefully articulating their ideas and explicitly citing the theory they are using.
The coursework assignments allow the students to develop their problem solving techniques, to practise the methods learnt in the module, to assess their progress and to receive feedback; the summative assessment has a secondary formative purpose as well as its primary summative purpose.
Reading Lists
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- MAS8608's Timetable